6/4/2022

Mission

Mission

  • 172 MVP candidates from 2010-2022
  • With 40 total variables
##     mvppts ptsmax share games  mpg  ppg rbpg astpg
## 113      2   1010 0.002    62 33.4 25.1  8.3   4.8
## 82    1198   1300 0.922    80 32.7 23.8  4.3   7.7
## 75      26   1250 0.021    69 36.2 23.2 11.1   2.6
## 36     889   1210 0.735    66 38.6 28.0  8.0   3.5
## 25     522   1210 0.431    79 38.8 26.7  7.5   7.0
  • And 34 more variables…

Sentiment Analysis

Sentiment Analysis

Example Text Sentiment Score (VADER[2])
According to Dirk Nowitzki, reporters should pay no attention to Jason Terry after games -0.382
[Draymond Green in 2010] “the world is flat fool” -0.440
Stephen Curry is 5th All-Time in career True Shooting Percentage at 62.0%, and 1st All-Time among guards 0.421
[Murphy] Serge Ibaka interrupts DeRozan’s scrum to ask what he got the team for Christmas. Told nothing, Ibaka says he’s going to go play with John Wall. 0.026

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Modeling

Modeling

Important Features

Important Features

Results

  • Model was able to predict the MVP winner with 77% accuracy (2010-2022)
  • With average deviation from actual rank of 0.41

Predictions for 2022 Season

Player Rank Predicted Rank Sentiment Score
Nikola Jokic 1 1✅ 0.94
Joel Embiid 2 2✅ -0.22
Giannis Antetokounmpo 3 3✅ 1.00

Full Predictions

Future

  • Test out model midseason
  • Add text sentiment analysis of famous critics like Stephen A Smith
  • Use comments instead of headlines
  • Comedy scores
  • Account for jargon

Reflection

  • Learned the arduous task of gathering data
  • How we different models can be used

Resources Used For Presentaiton